One of the most recurrent questions in quantitative research refers to on how to assess and rank the relevance of variables included in multiple regression models. This type of uncertainty arises most […]
I recognized Heteroscedasticity by running this flawed regression.
In a previous post, I covered how heteroscedasticity “happened” to me. The anecdote I mentioned mostly pertains to time series data. Given the purpose of the research that I was developing back […]
Why is America’s center of gravity shifting South and West?
Ever since Florida surpassed New York as the third most populous state in the nation, journalists started to document the ways in which the South region of the United States began attracting […]
Multicollinearity explained briefly. Is it bad at all?
Multicollinearity is a common pitfall in the practice of multiple regression analysis. Whenever analysts conduct quantitative research, they must be aware of at least the seven core assumptions of linear regression. In […]
US-China trade: There are two sides to every story.
The currency seems to have a negative effect… There are two sides to every story, even for US-China foreign trade. Ever since China emerged to the world economy as a major manufacturing […]
Have student loans outstripped mortgage debt?
Recent data released by the Federal Reserve Bank of New York show mortgage credit has not expanded much since the beginning of the current economic expansion. Unlike many other loans products, Mortgage […]
Does a worker choose not to work when collecting Social Security?
Campaigns against social security usually claim that Social Security Benefits discourage workers from being employed. Many right wing policy advocates point their fingers at Social Security Benefits as being expensive and further […]
Do Workers on Unemployment Insurance make Other Workers’ Income Worst?
Economists like to think that wages are set depending upon two basic factors plus a “catchall” variable. The two basic factors are expected price level and unemployment rate. The “catchall” variable stands […]
Traditional statistics proceedings for analysis of data: simple linear regression.
Steps in traditional statistics proceedings for analysis of data: 1. Formulation of Hypothesis. 2. Description of Mathematical model. 3. Collecting and organizing data. 4. Estimation of the coefficients. 5. Hypothesis testing and […]
Some criteria in evaluating results of a Regression Analysis.
Once you are done with your statistical modeling process, it is time to evaluate the overall soundness of your work. • First, do the signs of the estimated coefficients correspond to what […]